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As a developer, I’ve always been fascinated by the potential of AI to transform the healthcare industry. In this post, I’ll share my experience building a scalable AI Doctor Appointment Agent using n8n, Vector DBs, and Webhooks.

The AI agent acts as a WhatsApp bot, handling repetitive queries and freeing up staff to focus on patient care. Patients can book appointments 24/7, and the agent syncs instantly with the clinic’s calendar on our AWS Mumbai server.

The tech stack includes n8n for workflow automation, Vector DBs for scalable data storage, and Webhooks for real-time updates. By leveraging these technologies, we’ve created a highly efficient and effective AI Doctor Appointment Agent. Check out our GitHub repository to learn more about the code.

As a developer, I’ve worked on various projects where our team needed to access vast amounts of data quickly. That’s when I realized the potential of Custom RAG AI Agents. Shahi Raj built an AI assistant using PostgreSQL and AWS, which revolutionized our workflow. I’ll share my experience in building this Custom RAG AI Agent.

Here’s a high-level overview of the architecture:

• PostgreSQL as the primary database for storing our company’s knowledge base.
• AWS for hosting the AI agent and ensuring scalability.
• n8n for workflow automation and integration.

The AI agent uses Vector DBs to enable fast vector similarity searches, making it possible to find the exact detail our team needed in seconds. With this setup, we reduced our team’s search time significantly, allowing them to focus on high-quality work. If you’re interested in building a Custom RAG AI Agent for your company, contact me or Shahi Raj to discuss further.

I built the ShahiRaj Data Collector to empower field teams with real-time reporting capabilities. The system processes data via n8n on AWS Mumbai, appearing on the dashboard instantly.

The Android APK is designed to assist the field staff in the moment, eliminating the need for evening ‘catch-up’ paperwork. Field assistance is key: it empowers your field staff to log photos, locations, and data points instantly.

Want to learn more about building a real-time field reporting system? Check out ShahiRaj Data Collector’s documentation and DM me with questions.

Follow me for more tech stories and stay connected with ShahiRaj.

As a developer, I wanted to create a seamless experience for my team to access our database without leaving their favorite chat app. I built a custom Telegram bot using n8n, Vector DBs, and Webhooks to bridge the gap.

The integration allows my team to query inventory, check a client’s history, or trigger an n8n workflow with a simple text command. The bot uses the Vector DBs to store and retrieve data, making it a powerful tool for our team.

Explore the tech stack behind our custom bot solutions and learn how you can build a similar bot for your team.

I built the Digital Front Desk to help sales teams like yours stay ahead of the game.

The journey started with n8n, a powerful workflow automation tool that helped me integrate WhatsApp and Telegram with Google Calendar.

Using Vector DBs for real-time availability checks and Webhooks for seamless updates, our AI Meeting Scheduler was born.

The result? A solution that not only helps your team stay focused but also ensures you never miss a lead. Check it out and let me know what you think!

#ShahiRaj #DigitalFrontDesk #AIScheduler #n8n #VectorDBs #Webhooks

When the post-holiday rush hits, our internal operations get stressed.

I built a Custom n8n Workflow to assist our operations during these surges. The automation handles the heavy lifting on AWS, syncing 800+ shipping updates and routing new inquiries to the right team member.

By automating the ‘data moving’ tasks, we empower our staff to focus on high-priority projects that actually move the needle.

The code logic behind this Custom n8n Workflow is a testament to the power of automation.

I recently built an AI All-in-One Widget that assists website visitors in real-time, answering their questions and qualifying their needs. The tech stack includes n8n, Vector DBs, and Webhooks, all hosted securely on our AWS Mumbai backend.

With this widget, you can empower your weekend visitors and return to a list of pre-qualified leads ready for action. No more post-holiday backlog! Check out the code and see how you can integrate it into your website.

I recently worked on a project that involved building a hospital management system using n8n and Vector DBs. The goal was to create a seamless workflow between different hospital departments and external stakeholders. We used webhooks to integrate various systems and automated tasks, reducing manual errors and improving data accuracy. If you’re interested in learning more about this project, I’d be happy to share the code on my GitHub repository. Check out our tech blog for more updates on innovative projects!

Happy Republic Day of India! #ShahiRaj #n8n #VectorDBs

In this blog post, I’ll dive into the tech stack and code logic behind our Digital Sentinel, an AI-powered voice assistant that helps businesses manage customer queries on national holidays. The solution is built using n8n, a popular workflow automation tool, and Vector DBs for efficient data storage.

The AI assistant uses webhooks to receive and process incoming calls, leveraging natural language processing (NLP) to understand customer requests. The solution is hosted on AWS Mumbai infrastructure, ensuring high availability and scalability.

Our code logic involves a combination of Python and Node.js scripts, utilizing libraries like dialogflow and nlpjs for NLP tasks.

Stay tuned for more technical insights into our Digital Sentinel project.

#ShahiRaj #DigitalSentinel #TechStack

I’m excited to share our technical journey of building the MisriCalendarBot, a Telegram bot designed to provide instant access to essential information for the Dawoodi Bohra community.

The bot leverages the Mumineen.org API to fetch Hijri dates, Miqaats, and Namaz timings, which are then displayed directly on Telegram. We’ve also integrated the bot with our existing AWS workflows, ensuring seamless operation and scalability.

From a technical standpoint, the bot is built using Node.js and the n8n workflow automation tool. We’ve also utilized Vector DBs to store and retrieve data efficiently, and Webhooks to enable real-time updates.

Want to learn more about our technical approach? Check out our blog for more developer-focused content and stay tuned for future updates on the MisriCalendarBot.

#ShahiRaj #MisriCalendarBot #DeveloperLog